A Combinational Approach of GIS and SOA for Performance Improvement of Organization

International Journal of Web & Semantic Technology (IJWesT) Vol.3, No.1, January 2012
DOI : 10.5121/ijwest.2012.3102 11
A COMBINATIONAL APPROACH OF GIS AND SOA
FOR PERFORMANCE IMPROVEMENT OF
ORGANIZATION
Mortaza Saleh1
, Tahere Yaghoobi2
and Ahmad Faraahi3
1
Department of Computer Engineering and Information Technology, Payame Noor
University, Tehran
Saleh.Mortaza@Gmail.com
2
University, Isfahan
T.Yaghoobi@pnu.ac.ir
3
University, Tehran
Afaraahi@Pnu.ac.ir
ABSTRACT
A GIS (Geographic Information System), is a system designed to capture, store, manipulate, analyze,
manage, and present all types of geographically referenced data. In other words, GIS is the merging of
statistical analysis, database technology and cartography that can be integrated into any enterprise
information system framework. But despite all these advantages, geographic information systems that used
in organizational structures, is faced with some problems such as lack of interoperability, business
alignment, and agility.
This paper first analyzes the connotation, model structure and main features of GIS and Service Oriented
Architecture (SOA). Then we propose a service oriented GIS platform which uses SOA concepts as the
basic architectural concept and employs OGC (Open Geospatial Consortium) standards to support GIS
concerns in the organization. Our combinational approach, using features such as loose coupling,
integrity, independence and etc., can overcome the most of GIS problems such as lack of interoperability,
business alignment, and agility.
Keywords
Geographic Information System (GIS); Service Oriented Architecture (SOA); Service; Application Service;
Business Service; GIS Service; Platform.
1. INTRODUCTION
Nowadays having access to correct, accurate, updated and reliable information is one of the most
important factors of decision making in all aspects of societies. Regarding this concept, the
definition of information in various societies was restricted to attribute data and statistical data
until several years ago. Therefore, collecting, keeping and updating those information for
decision making for the daily affairs, was both time consuming and expensive. But after the
passage of little time, research conducted by United Nation and international committee of

12
geomatics revealed that more than 80% of exchanged information in the organizational settings
has geospatial characteristic [1]. Meanwhile, the above mentioned organization provided a
definition for such information which is called spatial data. Here is the definition: spatial data are
those data which are related to the features on the ground. Therefore it was identified that spatial
data include other usual and conceivable data such as attributed data and statistical data and etc.
in the form of charted data that are related to the main feature [2, 3].
After one decade, all organizations embarked on collection and producing spatial data by
surveying, photogrammetry, remote sensing, etc. but due to the lack of a unified and well defined
procedure, using the data was so difficult that this process was taken place manually. Therefore,
as data increased, decisions could not be taken manually by those who were in change [4]. As a
result, in the early 1980 especial kind of information systems emerged with the title of
Geographic Information System (GIS). This information system utilized some data, information,
rules, procedures, and computers and was able to analyze mentioned data and offer much more
precise ways for decision making by combining spatial and attribute data [5, 6].
As time elapsed some problems gradually appeared. Because several isolated parts inside the
organizations were formed and each part worked independently. They constituted systems and
data without knowing anything about the works of other parts. Therefore the organizations faced
with a huge cost and also wasted time. Moreover, data produced in this method are in various
formats, systems, and accuracy and lack metadata. According to the latest finding, using
Geodatabase with the especial architecture of spatial data can solve this problem [2, 3].
In spite of its advantages, this type of architecture, like other newly developed systems, has some
disadvantages such as lack of interoperability, business alignment, and agility. These
disadvantages decrease the output of the system and waste lot of time as well [7, 8]. On the other
hand, when an organization offers and receives services, it becomes necessary for that
organization to develop a strategic platform of technology which can enable all system of inside
or outside the organization to offer and receive service and also satisfy the demand of users [9,
10].
According to these explanations, service oriented architecture can be considered as a new and
developing method for making distributed application which is able to solve the big problem of
disunity among the organizational systems and also by providing software application paves the
way for better interoperation between business and information technology. Consequently, it
seems that combining service oriented architecture with standards of Open Geospatial
Consortium (OGC) can be an effective solution for the problems of geographic information
system. OGC standards are some technical documents which exactly elaborate on encodings and
connections. The main purpose of developing these standards is solving the problems of
interoperability among GIS software [11]. To satisfy this concern, in this paper, SOA is defined
as the best practice of the architectural concepts for increasing business alignment in the
enterprise applications. Then we propose a service-oriented GIS platform based on OGC
standards and in order to business enterprise. This study insists on developing GIS software
applications on the ground of SOA concepts and OGC standards.
This paper is organized as follows: related works and our motivation are reviewed in section 2.
Section 3 is focused on service oriented architecture and its general structure. In section 4 we
propose our approach which contains our desired strategy, methodology and our proposed
platform. A conclusion and an outlook on future research in this area close the body of this paper.

13
2. RELATED WORKS AND MOTIVATION
Despite all the above advantages, GIS applications have greatly suffered both from lack of
interoperability between internal software components and lack of alignment with real enterprise
concerns [12]. It is worth mentioning that many efforts have been done in this context, but there
is not a clear solution. Most other previous related works have the common goal of making GIS
applications more common and open. Some efforts worry about applying component oriented
approaches to GIS application development [13, 14]. Some of them focused on OGC capabilities
through utilizing OGC web services (OWSs) in their architecture [15, 16]. And some others
focused on SOA concepts and patterns implementation without considering OGC standards in the
architecture [17-19]. What is clear is that previous efforts and related works have not strictly
focused on the enterprise and GIS concerns at the same time. In this context and through our
combinational approach, enterprise and GIS concerns are considered together.
3. SERVICE ORIENTED ARCHITECTURE
Increasingly complex requirements of IT systems and the need to adopt with required changes
have attracted the organizations to focus on SOA to align their IT with their business processes.
SOA as the best practice for increasing business alignment in the enterprise applications,
comprise valuable characteristics like loose coupling, reusability, abstraction, agility, and etc.,
that result simple software development and time and cost efficient [20-23].
As reported by [24], service oriented architecture can be viewed from three different perspectives:
 The business perspective: Set of provided services by an organization to its stakeholders;
 The architecture perspective: An architectural view which consists of a service provider,
a requester, and a service discovery;
 The implementation perspective: Set of standards, tools, and technologies, such as web
services.
According to this classification, essentially, service oriented architecture is a collection of
services that communicate with each other [25, 26]. The communication can involve either
simple data passing or it could involve two or more services coordinating some activity. Here, a
service is a function that is well-defined, self-contained, does not depend on the context or state
of other services and from the organizational perspective, have become an impressive factor for
growth and the creation of jobs as 93% of the new jobs created in the U.S. between 1970 and
2000 are jobs in services [27]. SOA services can be easily combined and integrated with other
services to satisfy business processes.
On the other hand, according to the information technology perspective, logical organization,
divided in two major sections: business logic and application logic. Using these logics,
organizational processes and their appropriate services are created. These services can
encapsulate both logics. Figure 1 shows the service interface layer between the information layers
of organization. By layering services and their abstraction, service-oriented features can be
achieved significantly and so, organization speed will be higher. These layers are application,
business, and orchestration.
Application services layer, are useful services with reusability that usually are implemented in
two models: "utility services" and "wrapper services". Business services layer, are the controllers

14
that combine application services for implement their business logic. Orchestration services layer
include one or more process services that combine application services and business services
according to the logic and business rules; This is a coordinator. More details are mentioned in
[28].
In the following, we use service oriented architecture and its characteristics to present our related
strategy, methodology, and finally to propose our slightly platform.
4. OUR PROPOSED APPROACH
4.1 STRATEGY
In general, three strategies are common in software engineering: Top-down, Bottom-up and Agile
strategy [26, 29] that we selected agile strategy in this work.
4.1.1 TOP-DOWN
This strategy supports three layers of services that mentioned in previous section. In this strategy,
detailed definition of business models presents before modeling the service boundaries. Although
the best quality of service oriented architecture is offered in top-down strategy, but a considerable
amount of time and work is allocated to the analysis.
4.1.2 BOTTOM-UP
In this strategy, creating services considered to be as the base for achieve application-centric
requirements. Integration is the main work for bottom-up design. Using this strategy,
organizations can add services to their application environments easily.
Figure 1. Service Oriented Architecture in General View

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4.1.3 AGILE
We selected agile strategy due to include benefits of both top-down and bottom-up strategies.
This strategy combines benefits of both top-down and bottom-up approaches to meet the
immediate requirements without compromising the integrity of the enterprise business model and
characteristics of service oriented architecture. Figure 2 shows this strategy steps.
4.2 METHODOLOGY
Nowadays having a clear methodology is often deemed important especially in the computer
science. A methodology is a body of knowledge comprising the principles, guidelines, best
practices, methods, and processes relating to a particular discipline such as interaction design or
user research. In most software engineering projects, a methodology is usually presented not as a
description but as a prescription or a recommendation that projects should follow the generalized
task structure; It is a much broader concept than a process and can increase the quality control by
ensuring that the procedures are consistent.
As shown in figure 3, our methodology consists of seven phases. These phases, show different
stages of service oriented projects. Due to specific nature of service oriented architecture, two
primary phases of this methodology are examined here.
Figure 2. Agile Strategy Steps

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Figure 3. Methodology Phases
4.2.1 BUSINESS MODELING
In the first phase of the business modeling, we define interactions between a role and / or a
system to achieve a goal through use cases. Then, each of them should be realized. Use case
realization represents how a use case will be implemented in terms of collaborating objects. This
can take various forms. It can include, for example, a textual description (a document), class
diagrams of subsystems and participating classes, and interaction diagrams (sequence and
communication diagrams) that illustrate the flow of interactions between class and sample
subsystem.
Due to better management, use case realization is separated from use case. This isolation allows
the use cases to be managed separately from their realizations. This is particularly important for
larger projects, or chains of systems where the same use cases can be designed differently in
various products within the product chain. For larger projects, separating the use case and its
realization allows changes to the design of the use case without affecting the baselined use case
itself.
Next step identifies the events and business workers. Business event is an extraordinary
occurrence or any observable occurrence that has emphasis to a business. A business worker is a
class that represents an abstraction of a human that acts within the system. Business worker
manipulates business entities while participating in business use case realizations and interacts
with other business workers. As shown in figure 4, business modeling is output of these three
stages and useful in identifying business architecture, business rules, and business goals.

17
4.2.2 SERVICE ORIENTED ANALYSIS
The second phase of our methodology has eight steps. First step is related to the requirements;
business requirements have a direct affiliation with business activities and used to communicate
how a new or existing business process should work. In IT projects, business requirement is often
a precursor to designing and building a new business application / system, or changing an existing
one, and often sets the context for business process modeling and requirements analysis. These
requirements often include:
 Data flow diagrams to illustrate how data flows through the information systems
(different from flowcharts depicting algorithmic flow of business activities)
 Business process models and analysis using standard flowchart notations to depict
business processes (as-is and to-be)
 Business context and background, including reasons for change
 Key business stakeholders requirements
 Logical data model and data dictionary references
Next step is identification of valid automation systems. Defining and documenting business
requirements are necessary for this step. In step 3, according to automation systems, business
model will become to system model. Step 4 identifies of candidate services. Candidate service is
a service that satisfies an essential requirement, in whole or part. In a few cases, a candidate
Figure 4. Business Modeling

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service may have applicability to more than one essential requirement. Next step decomposes the
entire business process and review the details. After that, step 6 determines category of each
services. These categories are three cases: business category, application category, and GIS
category. In step 7, each service(s) decomposes to subservice(s) and in final step, each
subservice(s) decomposes to one or more atomic service(s). Any atomic service(s) has the
following characteristics:
 Separate from the higher level services
 No dependency to a specific organization; Any atomic service is able to employ in other
organizations and has integrity
 These services are inseparable and so, they are in the lowest level of our platform
Figure 5 shows these eight steps of our service oriented analysis.
4.3 OUR PROPOSED PLATFORM
Our proposed platform, using service oriented architecture concepts and its advantages can
increase business alignment, interoperability and agility in the organization. In this context, the
proposed idea will be achieved by following two major steps: firstly, using service oriented
advantages through classification of services in three levels which are implemented in the
organization (GIS-based processes: category A & GIS-independent processes: category B,C). As
a result, business alignment, interoperability and agility will be increased. Secondly, introduces a
dynamic interface and coordinator in order to establish a proper and mutual connection between
independent categories of organization.
As shown in figure 6, our proposed platform has three categories and four levels. Category B and
C, are about GIS-independent processes and category A is related to GIS-based processes. As
mentioned in previous section, GIS part of organization related to support, maintenance, and
Figure 5. Service Oriented Analysis

19
update spatial information. Levels of our platform have been classified from top to bottom. In
higher level, we have an interface which is responsible for coordination between GIS-based
processes and GIS-independent processes. Output of these processes, for update and / or insert in
the geographic information system part, must send to this service.
As mentioned above, we have classified the organization services according to their complexity
degree (decomposition ability), from top to bottom in level 3, level 2 and level 1. We have put
our main services in level 3. Main services in our proposed platform, are decomposable to lower
levels of services. We have put these services in level 2 and called these services as "subservice".
Similarly, these subservices can decompose to another services that we called these services as
"atomicservice". Any atomicservice in our proposed approach has some features that are
mentioned in previous section.
For example, suppose "Water and Sewage Company" that provides services to customers. A
"water piping demand" is a service that will be in the third level of our proposed platform; This is
a main service; It can decompose into other sub services such as "operation services", "request
and coordinator services", "accounting services", and etc. These sub services will be classified in
second level. Each of these sub services can decompose to other atomic services such as "fill the
application form services", "pay services", and etc. These atomic services are independent from
this organization. For example, "pay service" is a service that can be used in most organizations.
Note that, level one, two and three are linked together via communication messages and each
level sends its output(s) to a higher level. At the end, and in order to update and synchronize the
status between three parts, as noted above, after perform and apply a service in the organization,
GIS-based processes and GIS-independent processes will be synchronize together through an
interface and coordinator service.
Figure 6. Our Proposed Platform

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The presented platform, using service oriented architecture concepts has some advantages such as
loose coupling, integrity, reusability, independency, and parallelism that encourages
organizations to use it. In addition, using service oriented architecture in our platform, will result
in better resource management in the organization. In more general view, this platform can used
between two or more organizations in order to increasing interoperability, business alignment and
agility between more than one organization. We called this as "infra-organization business
alignment" and it can be in the future efforts.
5. CONCLUSION AND PLAN FOR FUTURE WORKS
This paper showed that SOA as the best practice of the architectural concepts can be used for
increasing business alignment in the enterprise applications. The proposed platform supports GIS
functionalities along with enterprise viewpoints in a proper manner and will be useful for
organizations wishing to develop enterprise applications with regards to GIS functionalities. This
paper showed that SOA specifications such as loose coupling, reusability, abstraction, agility, and
etc., can spread to organizations that using geographic information systems and increase their
efficiency.
Future works of this study can be a web-based architecture that combines SOA and RIA (Rich
Internet Application) for geographic information representation and processing. RIA is proposed
by Macromedia in 2001 [30] in order to meet consumers’ requirements like comprehensive
information change, user experience requirements and etc., which changes the traditional request-
response mechanism to a dynamic and asynchronous design pattern. RIA client and server have
an asynchronous communication and so can reduce data transmission.
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Authors
M. Saleh received his B.Sc degree in Computer Engineering from Payame Noor University, Iran in 2008.
Currently he is pursuing his master degree in the Software Engineering in Payame Noor University,
Tehran, Iran. His interests include Service Oriented Architecture, Information Systems, Security, and
Coordination Problems.
Dr.T. Yaghoobi is an Assistant Professor at the Department of Computer and Information Technology
Engineering in the Payame Noor University, Isfahan, Iran. She has received the PhD degree in Computer
Sciences from Sheffield Hallam University, UK. Her main research interest is artificial intelligence.
Dr.A. Faraahi received the PhD degree in Computer Sciences from Bradford University. He has been
working as a full-time faculty member, Assistant Professor and Head of Computer and Information
Technology Department in the Payame Noor University. His research interests are programming especially
that of educational systems.

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